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On October 22, 2026, NVIDIA released Kumo Relational, a pretrained relational foundation model that can make predictions directly on enterprise databases in a single forward pass, without task-specific training, feature engineering, or table flattening. According to the same release, across 41 tasks on 15 databases—RelBench V1/V2, SAP SALT, and 4DBInfer—the model outperformed supervised relational deep learning models and gradient-boosted tree pipelines with expert feature engineering; on SAP SALT, its MRR was 8% higher than the AutoGluon ensemble. The model is available through NVIDIA's open-source GPU-native structured-data-models library or NVIDIA NIM, and supports databases with 500B+ rows. There are currently no subsequent independent development facts.
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NVIDIA Releases Kumo Relational Relational Foundation Model, Predicts Without TrainingDevelopments
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- Source:Hugging Face
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Oct 22
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NVIDIA Releases Kumo Relational Relational Foundation Model, Predicts Without Training
NVIDIA has released Kumo Relational, a pretrained relational foundation model that can make predictions directly on enterprise databases in a single forward pass, without task-specific training, feature engineering, or table flattening. Across 41 tasks on 15 databases—RelBench V1/V2, SAP SALT, and 4DBInfer—it outperforms supervised relational deep learning models and gradient-boosted tree pipelines built with expert feature engineering, achieving an 8% higher MRR than the AutoGluon ensemble on SAP SALT. The model is available through NVIDIA's open-source GPU-native structured-data-models library or NVIDIA NIM, and supports databases with 500B+ rows.